Apiumhub

JUNE 22, 2021

We are super excited to participate in the biggest and the most influential Data, AI and Advanced Analytics event in the Nordics! Data Innovation Summit ! There our Gema Parreño – Data Science expert at Apiumhub gives a talk about Alignment of Language Agents for serious video games.

Innovation 83

Innovation Data Technical Review Artificial Inteligence 83

CIO

SEPTEMBER 2, 2022

This uniquely skilled, relatively new breed of data experts gathers and analyzes data — both structured and unstructured — to solve real business problems, using statistics, machine learning, algorithms, and natural language processing. Gartner reported that a data scientist in Washington, D.C., Let innovators innovate.

Data 246

Data Machine Learning Artificial Inteligence Training 246

CIO

SEPTEMBER 1, 2022

This uniquely skilled, relatively new breed of data experts gathers and analyzes data — both structured and unstructured — to solve real business problems, using statistics, machine learning, algorithms, and natural language processing. Gartner reported that a data scientist in Washington, D.C., Let innovators innovate.

Data 246

Data Machine Learning Artificial Inteligence Training 246

Kentik

JULY 18, 2016

Seeing Beneath the Surface with Post-Hadoop Big Data. At Kentik, we believe deeply in the power of post-Hadoop Big Data to address those limitations, making rich data readily accessible not only to engineering and operations, but also to wider areas of the organization. Dig deep without a backhoe.

Big Data 40

Big Data Network Analytics Data 40

CTOvision

MARCH 1, 2016

Extended Services (including Spark, Hive, HBase, Ambari and more), which run on top of the Core, will be logically grouped together and released continually throughout the year to match the pace of innovation occurring within each project team in the community. and New Streaming Analytics. Apache Ambari 2.2 and SmartSense™ 1.2

Analytics 61

Analytics Strategy Big Data Data Engineering 61

CTOvision

JUNE 15, 2015

They also launched a plan to train over a million data scientists and data engineers on Spark. ARMONK, NY - 15 Jun 2015: IBM (NYSE:IBM) today announced a major commitment to Apache®Spark™, potentially the most important new open source project in a decade that is being defined by data.

Open Source 117

Open Source Big Data Machine Learning Artificial Inteligence 117

Cloudera

JUNE 18, 2022

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. Data lakes and data warehouses unify large volumes and varieties of data into a central location.

Data 89

Data Analytics Open Source Architecture 89

Hu's Place - HitachiVantara

MAY 10, 2019

Rules based systems become unwieldy as more exceptions and changes are added and are overwhelmed by today’s sheer volume and variety of new data sources. For this reason, many financial institutions are converting their fraud detection systems to machine learning and advanced analytics and letting the data detect fraudulent activity.

Data 90

Data Machine Learning Artificial Inteligence Weak Development Team 90

Mobilunity

MAY 3, 2024

When it comes to financial technology, data engineers are the most important architects. As fintech continues to change the way standard financial services are done, the data engineer’s job becomes more and more important in shaping the future of the industry. Knowledge of Scala or R can also be advantageous.

Data Engineering 52

Data Engineering Fintech Engineering Data 52

Battery Ventures

OCTOBER 7, 2020

Many companies built on the tenets of OpenCloud are actually benefitting from the current environment: The recession has made organizations more focused than ever on staying nimble and rapidly innovating to serve customers, which usually requires creating and deploying cloud-based software.

Open Source 144

Open Source Cloud Google Cloud Azure 144

Cloudera

JULY 27, 2021

Data has become the critical fuel that drives growth and automation, the twin guide points for an industry stretching for new revenue sources and cost reduction, all the while maintaining governance on precious customer data. Edge analytics by definition require in-network deployment.

Telecommunications 60

Telecommunications Data Architecture Big Data 60

CTOvision

JANUARY 28, 2015

Strata + Hadoop World is where big data''s most influential business decision makers, strategists, architects, developers, and analysts gather to shape the future of their businesses and technologies. If you want to tap into the opportunity that big data presents, you want to be there. Data scientists.

Big Data 109

Big Data Case Study Conference Study 109

CTOvision

FEBRUARY 23, 2017

This is the place to dive deep into the latest on Big Data, Analytics, Artificial Intelligence, IoT, and the massive cybersecurity issues in all those topics. If you want to tap into the opportunity that big data presents, you want to be there. Meet-face-to face with other innovators and thought leaders.

Big Data 61

Big Data Artificial Intelligence Artificial Inteligence Case Study 61

TIBCO - Connected Intelligence

SEPTEMBER 14, 2020

It enables organizations to more easily and successfully explore their data for insights, provide data as a service, report in real-time, and monitor digital operations. Data virtualization is rising to meet this challenge. You quickly give business users the latest data from across distributed data sources.

Virtualization 49

Virtualization Data Analytics Innovation 49

Altexsoft

MARCH 16, 2021

In this article, we will explain the concept and usage of Big Data in the healthcare industry and talk about its sources, applications, and implementation challenges. What is Big Data and its sources in healthcare? So, what is Big Data, and what actually makes it Big? Let’s see where it can come from.

Big Data 116

Big Data Healthcare Applications Data 116

TIBCO - Connected Intelligence

SEPTEMBER 7, 2021

When new and more capable systems were introduced to its existing IT structure, it became clear that the company’s data and analytics also needed an upgrade. Since implementing DAP, the team’s emphasis has shifted from warehouse maintenance to innovating with data. Projects are delivered faster and with better results.

Virtualization 32

Virtualization Data Insurance Software Review 32

Netflix Tech

SEPTEMBER 18, 2020

Part of our series on who works in Analytics at Netflix?—?and and what the role entails by Julie Beckley & Chris Pham This Q&A provides insights into the diverse set of skills, projects, and culture within Data Science and Engineering (DSE) at Netflix through the eyes of two team members: Chris Pham and Julie Beckley.

Data 89

Data Analytics Culture Video 89

Capgemini

NOVEMBER 14, 2022

But this requires data accessibility for every worker. Let’s look at how to best deliver the potential of self-service BI, demonstrating how an innovative business-centric catalog puts data at the fingertips of decision makers. And they also need to trust that the data is current, relevant, and available. Easy, right?

Agile 52

Agile Technical Review Systems Review Artificial Intelligence 52

Cloudera

JANUARY 20, 2021

Most of what is written though has to do with the enabling technology platforms (cloud or edge or point solutions like data warehouses) or use cases that are driving these benefits (predictive analytics applied to preventive maintenance, financial institution’s fraud detection, or predictive health monitoring as examples) not the underlying data.

Data 104

Data Artificial Inteligence Analytics Machine Learning 104

Cloudera

AUGUST 31, 2021

Data warehousing is the backbone of every data driven organization , providing mission critical analytics. Today, modern data warehousing has evolved to meet the intensive demands of the newest analytics required for a business to be data driven. Migration of historical data from EDW Platform.

Data 81

Data Analytics Cloud Technical Review 81

Kentik

MAY 23, 2017

Given the advanced capabilities provided by cloud and big data technology, there’s no longer any justification for legacy monitoring appliances that summarize away all the details and force operators to swivel between siloed tools. ISPs can gain similar advantages by becoming far more data driven. Faster root-cause correlation.

Network 40

Network Open Source Big Data Load Balancer 40

Altexsoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. Who needs a data lake?

Architecture 52

Architecture Data Storage Machine Learning 52

Netflix Tech

MARCH 2, 2021

At Netflix, our data scientists span many areas of technical specialization, including experimentation, causal inference, machine learning, NLP, modeling, and optimization. Together with data analytics and data engineering, we comprise the larger, centralized Data Science and Engineering group.

Machine Learning 83

Machine Learning Artificial Inteligence Culture Analysis 83

CIO

OCTOBER 18, 2023

Putting data to work to improve health outcomes “Predicting IDH in hemodialysis patients is challenging due to the numerous patient- and treatment-related factors that affect IDH risk,” says Pete Waguespack, director of data and analytics architecture and engineering for Fresenius Medical Care North America.

Artificial Inteligence 334

Artificial Inteligence Analytics Artificial Intelligence Machine Learning 334

O'Reilly Media - Ideas

JUNE 4, 2019

Fundamentals of Machine Learning and Data Analytics , July 10-11. Essential Machine Learning and Exploratory Data Analysis with Python and Jupyter Notebook , July 11-12. Real-Time Streaming Analytics and Algorithms for AI Applications , July 17. Spotlight on Innovation: Making Things Happen with Scott Berkun , July 10.

Course 70

Course Training Artificial Inteligence Software Review 70

Apiumhub

AUGUST 12, 2021

This year you will have 6 unique tracks: Cloud Computing: IaaS, PaaS, SaaS DevOps: Microservices, Automation, ASRs Cybersecurity: Threats, Defenses, Tests Data Science: ML, AI, Big Data, Business Analytics Programming languages: C++, Python, Java, Javascript,Net Future & Inspire: Mobility, 5G data networks, Diversity, Blockchain, VR.

Industry 59

Industry Technical Advisors CTO Coach Azure 59

Kentik

JULY 19, 2017

Better network traffic intelligence makes a material impact on the business, because with faster and more flexible insights, engineers can optimize the performance of service delivery while lowering costs and avoiding risks of outages. Already know that you want to get a deeper look? Already know that you want to get a deeper look?

Network 40

Network .Net Data Center Big Data 40

CIO

DECEMBER 6, 2023

The new models recognise this, drawing tech vendors to shift toward innovation-focused roles and become partners in the client’s success. When taking this to the next level, vendor partners act as co-innovators, helping businesses craft winning strategies based on innovation.

Airlines 290

Airlines Innovation Automotive Resources 290

Kentik

APRIL 11, 2016

Clustered computing for real-time Big Data analytics. It has since gone on to become a key technology for running many web-scale services and products, and has also landed in traditional enterprise and government IT organizations for solving big data problems in finance, demographics, intelligence, and more.

Big Data 40

Big Data Analytics Network Architecture 40

O'Reilly Media - Ideas

JUNE 5, 2019

Fundamentals of Machine Learning and Data Analytics , July 10-11. Essential Machine Learning and Exploratory Data Analysis with Python and Jupyter Notebook , July 11-12. Real-Time Streaming Analytics and Algorithms for AI Applications , July 17. Spotlight on Innovation: Making Things Happen with Scott Berkun , July 10.

Course 51

Course Training Artificial Inteligence Software Review 51

O'Reilly Media - Ideas

MAY 1, 2019

Real-Time Streaming Analytics and Algorithms for AI Applications , May 15. Spotlight on Innovation: Blockchain as a Service with Ed Featherston , June 12. Spotlight on Data: Caching Big Data for Machine Learning at Uber with Zhenxiao Luo , June 17. Leading Innovative Teams , July 2. AI and machine learning.

Course 47

Course Training Artificial Inteligence Machine Learning 47

Apiumhub

APRIL 5, 2022

Apiumhub has become a Media partner of the Data Innovation Summit – the most influential data, AI and advanced analytics event in the Nordics and beyond. . Data Innovation Summit. Data Innovation Summit 2022 edition at glance. Save the dates: 5th & 6th May, 2022. .

Innovation 52

Innovation Data Artificial Inteligence Case Study 52

AWS Machine Learning - AI

JANUARY 26, 2024

We also discuss common security concerns that can undermine trust in AI, as identified by the Open Worldwide Application Security Project (OWASP) Top 10 for LLM Applications , and show ways you can use AWS to increase your security posture and confidence while innovating with generative AI.

Artificial Inteligence 117

Artificial Inteligence Generative AI Security Applications 117

Coforge

AUGUST 31, 2020

The drastic shift from traditional and orthodox system frameworks and operations can be unarguably attributed to the influx of intelligent technologies such as Artificial Intelligence, Machine Learning, Big Data, Blockchain/DLT led smart contracts, and widespread usage of cloud systems. . The Coforge Advantage.

Insurance 40

Insurance Technology Artificial Inteligence Policies 40

Mobilunity

DECEMBER 21, 2022

Data is used in clinical trials, for predictive testing, electronic health records and disease registries. Tech companies use data science to enhance user experience, create personalized recommendation systems, develop innovative solutions, and more. Working with business leaders to develop data strategies. Agriculture.

Data 52

Data How To Machine Learning Artificial Inteligence 52

Altexsoft

NOVEMBER 9, 2021

If you want to streamline your procurement and gain more visibility into this process, you have to get hold of available data, analyze it, and extract value to make informed decisions. What is procurement analytics and the opportunities it offers? Main components of procurement analytics. Procurement and its challenges.

Analytics 52

Analytics Software Review Systems Review Technical Review 52

Existek

JANUARY 11, 2022

The cloud computing market covers many areas like business processes, infrastructure, platform, security, management, analytics supported by cloud providers. The innovative approaches in delivering software provided the firm basis for the well-known delivery model SaaS. Data and analytics. Internet of Things.

Azure 52

Azure AWS Cloud How To 52